Executive Summary
Amazon works well for most dog owners in this study, but it wins mainly on ease, not delight. Participants consistently valued fast search, filtering, reviews, and delivery convenience, while frustration centered on poor search relevance, too many similar options, and unclear pricing or subscriptions.
AI is now part of the shopping journey for many, but adoption is uneven. German participants were more frequent users, while UK participants were more likely to say they only use AI sometimes or not at all; across both markets, trust still depends on cross-checking with reviews, labels, or vets.
| Study snapshot | Value |
|---|---|
| Interviews started | 43 |
| Interviews completed | 42 |
| Average interview length | 19 minutes |
| Markets | United Kingdom, Germany |
Who we spoke to
The sample included 42 dog owners: 25 in the United Kingdom and 17 in Germany. It was slightly female-skewed (24 women, 18 men), with the largest age group in the 35–44 range.
What matters most in dog food choice
Owners were not casually browsing. They tended to start with a known need and evaluate options through a practical lens: ingredient quality, suitability for the dog, palatability, price, and trust in the brand. That means loyalty exists, but it is conditional—people will switch when price, availability, or fit changes.
Amazon: strong utility, clear friction
The main story is functional strength. Participants repeatedly described Amazon as easy, familiar, and efficient, especially for comparing products and reordering heavy items.
The weak point is not checkout—it is decision support. Friction showed up most often when search results felt noisy, filters did not narrow enough, or pricing and subscription mechanics felt misleading.
A market difference is visible in overall experience: UK participants were more likely to rate the Amazon task very positively, while German participants clustered more in the "quite good" range. That suggests satisfaction in both markets, but slightly more enthusiasm in the UK.
Participant voices
These clips show what "good utility" looked like in practice: easy filtering, price-per-kilo comparison, and fast decision-making.
These clips capture the main friction points: misleading comparisons, unclear total cost, and irrelevant alternatives.
AI: growing role, qualified trust
AI is already influencing shopping behavior for a meaningful share of participants, but it is rarely trusted on its own. The most credible role for AI is helping owners narrow options, explain ingredients, compare products, and build confidence before they verify elsewhere.
The contrast in attitudes is important: some participants said AI directly shaped purchases, especially around nutrition, sensitive stomachs, and product discovery. Others rejected it outright, preferring Google, reviews, or their own judgment over conversational AI.
Implications for brands
- Win the shortlist early by making ingredient quality, suitability, and trust cues visible at a glance.
- Reduce Amazon friction with clearer naming, stronger variant logic, and simpler price and subscription communication.
- Use AI as guided reassurance, not as a replacement for expert validation.
- Design for pragmatic loyalty: shoppers stay loyal when quality, value, and convenience continue to align.